Artificial intelligence in the neonatal intensive care unit: the time is now

K Beam, P Sharma, P Levy, AL Beam - Journal of Perinatology, 2024 - nature.com
Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit
(NICU) care by leveraging the large-scale, high-dimensional data that are generated by …

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

A Balagopalan, I Baldini, LA Celi, J Gichoya… - PLOS Digital …, 2024 - journals.plos.org
Despite significant technical advances in machine learning (ML) over the past several years,
the tangible impact of this technology in healthcare has been limited. This is due not only to …

Data interoperability for ambulatory monitoring of cardiovascular disease: a scientific statement from the American Heart Association

AA Armoundas, FS Ahmad, DA Bennett… - Circulation: Genomic …, 2024 - ahajournals.org
Wearable devices are increasingly used by a growing portion of the population to track
health and illnesses. The data emerging from these devices can potentially transform health …

[HTML][HTML] Review on current race for Covid-19 diagnosis

K Karki, S Priyadarshini, P Kumar, S Kumar… - … and Bioelectronics: X, 2024 - Elsevier
The enduringsevere acute respiratory syndrome corona virus 2 (SARS-CoV-2) global health
has led to a huge market to design affordable point-of-care (PoC) examination tools and …

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach

P Kasl, L Keeler Bruce, W Hartogensis, S Dasgupta… - Sensors, 2024 - mdpi.com
Commercially available wearable devices (wearables) show promise for continuous
physiological monitoring. Previous works have demonstrated that wearables can be used to …

Interpretable deep learning model for tuberculosis detection using X-ray images

MF Ahamed, M Nahiduzzaman, MR Islam… - … , Prevention, and Control …, 2024 - Springer
Tuberculosis (TB) is a worldwide severe health concern that causes numerous deaths
yearly. Detecting TB promptly and precisely is crucial for limiting its effects and preventing …

Development and validation of a symbolic regression-based machine learning method to predict COVID-19 in-hospital mortality among vaccinated patients

F Sofos, E Rouka, V Triantafyllia, E Andreakos… - Health and …, 2024 - Springer
Purpose The continuous evolution of SARS-CoV-2 and possible future pandemics have
risen concerns relevant to the effectiveness of the vaccines which are currently available. To …

[HTML][HTML] Detection of common respiratory infections, including COVID-19, using consumer wearable devices in health care workers: prospective model validation study

Z Esmaeilpour, A Natarajan, HW Su… - JMIR Formative …, 2024 - formative.jmir.org
Background: The early detection of respiratory infections could improve responses against
outbreaks. Wearable devices can provide insights into health and well-being using …

Continuous Physiological Signal Monitoring Using Wearables for the Early Detection of Infectious Diseases: A Review

SK Somasundaram, S Sridevi, M Murugappan… - … , Prevention, and Control …, 2024 - Springer
In the chapter, biometrics and wearable technology are discussed as possibilities for
detecting and monitoring infections due to pathogenic organisms such as viruses, bacteria …

Contactless monitoring for the elderly: potential and pitfalls

JL Ong, KG Baron - Sleep, 2023 - academic.oup.com
The rapid rise of consumer sleep technologies is advancing the potential for large-scale,
longitudinal sleep monitoring that could pave the way for the development of personalized …